摘要
神经网络具有很强的自学习能力和容错性，善于联想、类比和推理。该文在探讨教学质量评价指标体系构建的基础上，将神经网络的BP算法应用于教师教学质量的评价中，目的是为了准确地反映教学的实际，更科学地对教师的教学质量进行有效的评价。实验结果证明，应用神经网络BP算法的评价方法考虑了评价标准的模糊性，使教师的教学质量得到客观公正的评价。
Neural networks have good ability of self-learning and fault-tolerance. They are good at association, analogy and reasoning. Based on having discussed the compose of teaching quality evaluation system, This paper applies BP Algorithm of-neural network into the evaluation of teaching quality in order to reflect the teaching fact correctly and evaluate the teacher＇s teaching quality effectively. Experiments prove that the method of neural networks has made the better result owing to it considering the vagueness of the evaluation.
出处
《电脑知识与技术》
2011年第3期1581-1582,1599,共3页
Computer Knowledge and Technology
基金
本文受安徽大学质量工程项目（项目编号XJ200950）资助
关键词
教学质量
神经网络
BP算法
评价
teaching quality
neural networks
BP algorithm
evaluation
